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Field
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Computational Sciences Directorate (CCSD) at Oak Ridge National Laboratory (ORNL) is seeking a Postdoctoral Research Associate who will support the areas of multimodal imaging, AI architecture, and efficient
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with photogrammetry, LiDAR alignment, or large-scale 3D data, and deep learning-based 3D vision and graphics • Familiarity with image annotation tools and dataset iteration workflows • Contributions
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research group (1-2 positions). The position is fixed-term for 2 years with a possibility for extension. Preferred starting date is 1 October 2025 (or as agreed). Job description The Kaslin group’s vision is
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, imaging, and electrophysiological techniques to elucidate novel mechanisms governing neuron communication at the molecular, cellular, and circuit levels. Responsibilities Independently lead research
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research approaches. Working closely with nursing partners and clinical collaborators, our exciting work combines non-invasive imaging technologies, deep learning, computer vision, and clinical workflow
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of practical-based research leveraging up-to-date science and technology with a vision of solving relevant Local, Regional, and African agriculture challenges. ASARI acts in connection with a wide
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research team including experts at NYUAD and Cleveland Clinic Abu Dhabi with a demonstrated track record in vision science, neuro-imaging, neuro-ophthalmology and deep learning. 2) Using Advanced Imaging
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. This position is eligible for visa sponsorship. Outstanding UA benefits include health, dental, and vision insurance plans; life insurance and disability programs; paid vacation, sick leave, and holidays; UA/ASU
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Highlights This position, funded by the Gordon and Betty Moore Foundation, is focusing on developing and utilizing the attosecond electron imaging facility for imaging the electron motion in the real time. The
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researchers, practitioners, and innovators, with a strategic vision to address pressing global challenges through creativity, collaboration, and critical thinking. About the Project This AHRC-funded project